Kaixuan Ji

33 papers A* 4B 3C 1Journal 17Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Near-Optimal Regret for KL-Regularized Multi-Armed Bandits.
CoRR
Kaixuan Ji, Qingyue Zhao, Heyang Zhao, Qiwei Di, Quanquan Gu
2025 J jnl
Best-of-Majority: Minimax-Optimal Strategy for Pass@
CoRR
Qiwei Di, Kaixuan Ji, Xuheng Li, Heyang Zhao, Quanquan Gu
2025 J jnl
Nearly Optimal Sample Complexity of Offline KL-Regularized Contextual Bandits under Single-Policy Concentrability.
CoRR
Qingyue Zhao, Kaixuan Ji, Heyang Zhao, Tong Zhang, Quanquan Gu
2025 J jnl
Reinforcement Learning from Human Feedback with Active Queries.
Trans. Mach. Learn. Res.
Kaixuan Ji, Jiafan He, Quanquan Gu
2025 A* conf
Self-Play Preference Optimization for Language Model Alignment.
ICLR
Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
2024 J jnl
Adversarial Attacks to Manipulate Target Localization of Object Detector.
IEEE Access
Kai Xu, Xiao Cheng, Ji Qiao, Jia-Teng Li, Kaixuan Ji, Jiayong Zhong, Peng Tian, Jian-Xun Mi
2024 J jnl
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization.
CoRR
Guanlin Liu, Kaixuan Ji, Renjie Zheng, Zheng Wu, Chen Dun, Quanquan Gu, Lin Yan
2024 A* conf
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs.
ICLR
Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
2024 J jnl
Reinforcement Learning from Human Feedback with Active Queries.
CoRR
Kaixuan Ji, Jiafan He, Quanquan Gu
2024 A* conf
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.
ICML
Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
2024 J jnl
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.
CoRR
Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
2024 J jnl
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation.
CoRR
Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu
2024 A* conf
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation.
NeurIPS
Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu
2024 J jnl
Self-Play Preference Optimization for Language Model Alignment.
CoRR
Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
2023 B conf
A Transferable Multi-Agent Reinforcement Learning Method for Distribution Service Restoration.
SMC
Ruiqi Si, Ji Qiao, Xiaohui Wang, Kaixuan Ji, Zibo Wang, Zhang Jun, Xuanying Pan, Zhengyan Zhang
2023 J jnl
BiLL-VTG: Bridging Large Language Models and Lightweight Visual Tools for Video-based Texts Generation.
CoRR
Ji Qi, Kaixuan Ji, Jifan Yu, Duokang Wang, Bin Xu, Lei Hou, Juanzi Li
2023 J jnl
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs.
CoRR
Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
2023 J jnl
Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment.
CoRR
Ji Qi, Kaixuan Ji, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Lei Hou, Juanzi Li, Bin Xu
2023 — conf
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
EMNLP (Findings)
Weng Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Jiahua Liu, Tao Li, Yuxiao Dong, Jie Tang
2022 — conf
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.
ACL (2)
Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, Jie Tang
2022 J jnl
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
CoRR
Weng Lam Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Xingjian Zhang, Yuxiao Dong, Jiahua Liu, Maodi Hu, Jie Tang
2021 B conf
A Deep Reinforcement Learning-based Task Scheduling Algorithm for Energy Efficiency in Data Centers.
ICCCN
Penglei Song, Ce Chi, Kaixuan Ji, Zhiyong Liu, Fa Zhang, Shikui Zhang, Dehui Qiu, Xiaohua Wan
2021 J jnl
A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers.
Sustain. Comput. Informatics Syst.
Kaixuan Ji, Fa Zhang, Ce Chi, Penglei Song, Biyu Zhou, Avinab Marahatta, Zhiyong Liu
2021 — conf
A new meta-heuristic task scheduling algorithm for optimizing energy efficiency in data centers.
ISPA/BDCloud/SocialCom/SustainCom
Shikui Zhang, Ce Chi, Kaixuan Ji, Zhiyong Liu, Fa Zhang, Penglei Song, Huimei Yuan, Dehui Qiu, Xiaohua Wan
2021 J jnl
Improving energy efficiency in colocation data centers for demand response.
Sustain. Comput. Informatics Syst.
Ce Chi, Fa Zhang, Kaixuan Ji, Avinab Marahatta, Zhiyong Liu
2021 J jnl
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.
CoRR
Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, Jie Tang
2020 B conf
An Energy Saving-Oriented Incentive Mechanism in Colocation Data Centers.
ICCCN
Ce Chi, Kaixuan Ji, Avinab Marahatta, Fa Zhang, Youshi Wang, Zhiyong Liu
2020 C conf
An Incentive Mechanism for Improving Energy Efficiency of Colocation Data Centers Based on Power Prediction.
ISCC
Ce Chi, Kaixuan Ji, Avinab Marahatta, Fa Zhang, Youshi Wang, Zhiyong Liu
2020 — conf
Delay-Minimization Link Selection for Heterogeneous VLC-DSRC VANETs.
VTC Spring
Kaixuan Ji, Yuhan Dong, Jiaxuan Chen, Tianqi Mao, Zhaocheng Wang
2020 — conf
Eco-friendly Dynamic Task Scheduling for Regional Data Center.
e-Energy
Avinab Marahatta, Ce Chi, Kaixuan Ji, Carlos Juiz, Fa Zhang, Zhiyong Liu
2020 — conf
Energy Efficient Scheduling Based on Marginal Cost and Task Grouping in Data Centers.
e-Energy
Kaixuan Ji, Ce Chi, Avinab Marahatta, Fa Zhang, Zhiyong Liu
2020 — conf
Jointly Optimizing the IT and Cooling Systems for Data Center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning.
e-Energy
Ce Chi, Kaixuan Ji, Avinab Marahatta, Penglei Song, Fa Zhang, Zhiyong Liu
2019 — conf
SVM-Based Network Access Type Decision in Hybrid LiFi and WiFi Networks.
VTC Fall
Kaixuan Ji, Tianqi Mao, Jiaxuan Chen, Yuhan Dong, Zhaocheng Wang